samsung SM-X810
Geekbench ML Score
1102
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X810 |
| Model ID | samsung SM-X810 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
656
122.8 IPS |
|
|
Image Classification (F16)
|
100% |
847
158.6 IPS |
|
|
Image Classification (I8)
|
99% |
804
150.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
955
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1298
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
967
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
1388
1.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
1391
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
395
29.5 IPS |
|
|
Object Detection (F16)
|
100% |
392
29.2 IPS |
|
|
Object Detection (I8)
|
62% |
511
38.1 IPS |
|
|
Face Detection (F32)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (F16)
|
97% |
3053
36.3 IPS |
|
|
Face Detection (I8)
|
86% |
2640
31.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1516
11.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2918
22.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2906
22.5 IPS |
|
|
Style Transfer (F32)
|
100% |
3794
4.99 IPS |
|
|
Style Transfer (F16)
|
100% |
8545
11.2 IPS |
|
|
Style Transfer (I8)
|
98% |
8593
11.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
473
16.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
390
13.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
391
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
427
613.2 IPS |
|
|
Text Classification (F16)
|
100% |
441
634.5 IPS |
|
|
Text Classification (I8)
|
92% |
671
963.8 IPS |
|
|
Machine Translation (F32)
|
100% |
683
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
672
12.4 IPS |
|
|
Machine Translation (I8)
|
64% |
717
13.2 IPS |
